title: Inference of historical migration rates via haplotype sharing.
abstract: CONCLUSIONS
  Pairs of individuals from a study cohort will often share long-range haplotypes identical-by-descent. Such haplotypes are transmitted from common ancestors that lived tens to hundreds of generations in the past, and they can now be efficiently detected in high-resolution genomic datasets, providing a novel source of information in several domains of genetic analysis. Recently, haplotype sharing distributions were studied in the context of demographic inference, and they were used to reconstruct recent demographic events in several populations. We here extend the framework to handle demographic models that contain multiple demes interacting through migration. We extensively test our formulation in several demographic scenarios, compare our approach with methods based on ancestry deconvolution and use this method to analyze Masai samples from the HapMap 3 dataset.
  
  
  BACKGROUND
  DoRIS, a Java implementation of the proposed method, and its source code are freely available at http://www.cs.columbia.edu/~pier/doris.
authors.affiliation: Department of Computer Science, Columbia University, 500 West 120th, New York City, NY 10027, USA.
authors.forename: Pier Francesco
authors.initials: PF
authors.lastname: Palamara
authors.forename: Itsik
authors.initials: I
authors.lastname: Pe'er
mesh_terms: D060148:HapMap Project; D006239:Haplotypes; D063426:Human Migration; D006801:Humans; D008957:Models, Genetic